Automatically Proving Plane Geometry Theorems Stated by Text and Diagram

Author:

Gan Wenbin1ORCID,Yu Xinguo1,Zhang Ting1,Wang Mingshu1

Affiliation:

1. National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, P. R. China

Abstract

This paper presents an algorithm for proving plane geometry theorems stated by text and diagram in a complementary way. The problem of proving plane geometry theorems involves two challenging subtasks, being theorem understanding and theorem proving. This paper proposes to consider theorem understanding as a problem of extracting relations from text and diagram. A syntax–semantics (S2) model method is proposed to extract the geometric relations from theorem text, and a diagram mining method is proposed to extract geometry relations from diagram. Then, a procedure is developed to obtain a set of relations that is consistent with the given theorem with high confidence. Finally, theorem proving is conducted by using the existing proving methods which take the extracted geometric relations as input. The experimental results show that the proposed theorem proving algorithm can prove 86% of plane geometry theorems in the test dataset of 200 theorems, which is all the theorems in the popular textbook. The proposed algorithm outperforms the existing algorithms mainly because it can extract relations not only from text but also from diagram.

Funder

National Natural Science Foundation of China

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Cited by 21 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. FGeo-DRL: Deductive Reasoning for Geometric Problems through Deep Reinforcement Learning;Symmetry;2024-04-05

2. FGeo-SSS: A Search-Based Symbolic Solver for Human-like Automated Geometric Reasoning;Symmetry;2024-03-30

3. Extracting structured information from the textual description of geometry word problems;Proceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval;2023-12-15

4. Interpretable Geometry Problem Solving Using Improved RetinaNet and Graph Convolutional Network;Electronics;2023-11-09

5. A Mathematical Concepts Enhanced Annotation Model for Chinese Arithmetic Word Problems;2023 International Conference on Intelligent Education and Intelligent Research (IEIR);2023-11-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3